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KDD
2005
ACM
124views Data Mining» more  KDD 2005»
16 years 7 months ago
CLICKS: an effective algorithm for mining subspace clusters in categorical datasets
We present a novel algorithm called Clicks, that finds clusters in categorical datasets based on a search for k-partite maximal cliques. Unlike previous methods, Clicks mines subs...
Mohammed Javeed Zaki, Markus Peters, Ira Assent, T...
SETN
2004
Springer
16 years 2 days ago
Clustering XML Documents by Structure
This work explores the application of clustering methods for grouping structurally similar XML documents. Modeling the XML documents as rooted ordered labeled trees, we apply clust...
Theodore Dalamagas, Tao Cheng, Klaas-Jan Winkel, T...
CSCLP
2003
Springer
15 years 12 months ago
Clustering for Disconnected Solution Sets of Numerical CSPs
This paper considers the issue of postprocessing the output of interval-based solvers for further exploitations when solving numerical CSPs with continuum of solutions. Most interv...
Xuan-Ha Vu, Djamila Sam-Haroud, Boi Faltings
194
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IDEAL
2010
Springer
15 years 5 months ago
Applying Clustering Techniques to Reduce Complexity in Automated Planning Domains
Automated Planning is a very active area of research within Artificial Intelligence. Broadly this discipline deals with the methods by which an agent can independently determine t...
Luke Dicken, John Levine
ISNN
2010
Springer
15 years 5 months ago
Pruning Training Samples Using a Supervised Clustering Algorithm
As practical pattern classification tasks are often very-large scale and serious imbalance such as patent classification, using traditional pattern classification techniques in ...
Minzhang Huang, Hai Zhao, Bao-Liang Lu